This repository was archived by the owner on Jul 1, 2023. It is now read-only.
[Layers] Update DepthwiseConv2D(filterShape:...)
bias
initialization
#441
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Issue:
DepthwiseConv2D(filterShape:strides:padding:activation:filterInitializer:...)
produces a shape mismatch error in the conv-bias sum of
callAsFunction()
when initialized under afilterShape
with channel-multiplier greater than1
.More specifically, this is caused by initializing the
bias
vector with dimension equal to said channel-multiplier.Fix :This PR adds the proper
bias
vector initialization by computing the dimensionality as:bias vector dimension = output channel count = (input channel count * channel multiplier)